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Mining Twitter to Assess the Public Perception of the "Internet of Things".

Title: Mining Twitter to Assess the Public Perception of the "Internet of Things".
Name(s): Bian, Jiang, author
Yoshigoe, Kenji, author
Hicks, Amanda, author
Yuan, Jiawei, author
He, Zhe, author
Xie, Mengjun, author
Guo, Yi, author
Prosperi, Mattia, author
Salloum, Ramzi, author
Modave, François, author
Type of Resource: text
Genre: Journal Article
Date Issued: 2016-07-08
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Social media analysis has shown tremendous potential to understand public's opinion on a wide variety of topics. In this paper, we have mined Twitter to understand the public's perception of the Internet of Things (IoT). We first generated the discussion trends of the IoT from multiple Twitter data sources and validated these trends with Google Trends. We then performed sentiment analysis to gain insights of the public's attitude towards the IoT. As anticipated, our analysis indicates that the public's perception of the IoT is predominantly positive. Further, through topic modeling, we learned that public tweets discussing the IoT were often focused on business and technology. However, the public has great concerns about privacy and security issues toward the IoT based on the frequent appearance of related terms. Nevertheless, no unexpected perceptions were identified through our analysis. Our analysis was challenged by the limited fraction of tweets relevant to our study. Also, the user demographics of Twitter users may not be strongly representative of the population of the general public.
Identifier: FSU_pmch_27391760 (IID), 10.1371/journal.pone.0158450 (DOI), PMC4938510 (PMCID), 27391760 (RID), 27391760 (EID), PONE-D-15-54733 (PII)
Grant Number: P30 AG028740, UL1 TR001427
Publication Note: This NIH-funded author manuscript originally appeared in PubMed Central at
Subject(s): Data Mining/methods
Social Media
Social Perception
Persistent Link to This Record:
Host Institution: FSU
Is Part Of: PloS one.
Issue: iss. 7, vol. 11

Choose the citation style.
Bian, J., Yoshigoe, K., Hicks, A., Yuan, J., He, Z., Xie, M., … Modave, F. (2016). Mining Twitter to Assess the Public Perception of the "Internet of Things". Plos One. Retrieved from